Stars
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Repository for clean code cookbook
Repository for clean code cookbook
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Wel…
Large-scale language modeling tutorials with PyTorch
llama3 implementation one matrix multiplication at a time
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Understanding Deep Learning - Simon J.D. Prince
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
davified / clean-code-ml
Forked from zedr/clean-code-python🛁 Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
Preprocessing Library for Natural Language Processing